Application of deep learning-based magnetic resonance imaging in the diagnosis and treatment of coronary artery disease
With the increasing trend of population aging and changes in modem lifestyle,the prevalence of coronary artery disease is increasing year by year and gradually showing a younger trend,making it one of the most common fatal diseases in the world today.Traditional imaging technology can no longer meet the demand of the increasing and increasingly complex cases year by year,and the pressure of physicians'is increasing dramatically.In recent years,the rapid development of artificial intelligence has effectively improved the efficiency and accuracy of physicians'work,and the combination of various emerging artificial intelligence technology and imaging equipment has achieved positive results in clinical practice,showing a bright future for development,especially the non-invasive cardiac magnetic resonance technology that can simultaneously evaluate the structure and function of heart.This paper summarizes the research status,progress and limitations of the combination of deep learning and magnetic resonance in the diagnosis and treatment of coronary artery disease,aiming to improve the efficiency and accuracy of physicians'diagnosis and treatment,promote the timely diagnosis and early intervention of coronary artery disease,and promote the development and progress of artificial intelligence in the field of imaging medicine in China.